Split (1)

train · 10k rows

ID int64	Age int64	Gender string	Country string	Coffee_Intake float64	Caffeine_mg float64	Sleep_Hours float64	Sleep_Quality string	BMI float64	Heart_Rate int64	Stress_Level string	Physical_Activity_Hours float64	Health_Issues string	Occupation string	Smoking int64	Alcohol_Consumption int64
301	25	Female	Belgium	4.1	386.2	5.3	Fair	19.6	74	Medium	6.4	Mild	Service	1	0
302	28	Male	Australia	2.1	201.7	5.6	Fair	28.4	70	Medium	0.8	Mild	Office	0	0
303	43	Female	Germany	0.8	76.9	8.3	Excellent	28.5	69	Low	11.1	null	Healthcare	0	0
304	42	Female	Sweden	1.1	104.2	7.1	Good	26.3	58	Low	13.4	null	Healthcare	0	0
305	34	Female	Japan	4	381.8	6.3	Good	25.6	76	Low	8.7	null	Service	1	1
306	36	Male	India	1.4	133.2	9	Excellent	15	69	Low	6	null	Office	1	1
307	50	Other	Netherlands	7.3	692.8	6.9	Good	28.8	60	Low	6.8	null	Other	0	0
308	27	Female	India	1.9	179.7	5.8	Fair	25.9	65	Medium	10.6	Mild	Other	0	0
309	41	Male	Sweden	3	287.5	5.9	Fair	29.1	59	Medium	3	Mild	Healthcare	0	0
310	32	Male	Netherlands	3	287.3	7.1	Good	19.3	70	Low	3.1	null	Service	0	0
311	32	Male	UK	2.8	263.1	6.9	Good	26.6	85	Low	5.2	null	Other	0	0
312	48	Female	Germany	0.7	63.7	7.8	Good	26.4	62	Low	0.4	null	Healthcare	0	0
313	44	Male	France	2.9	272.8	7.6	Good	15	70	Low	10	null	Healthcare	0	1
314	44	Female	Belgium	2.9	271.6	8.5	Excellent	23.6	71	Low	6.7	null	Office	0	1
315	50	Male	Germany	2.1	194.8	6.2	Good	24	84	Low	13.4	null	Service	0	0
316	35	Female	India	5.3	501.3	9.1	Excellent	20.1	72	Low	9.7	null	Other	0	1
317	43	Male	Brazil	0	0.7	8.1	Excellent	25.9	58	Low	10.6	null	Office	0	0
318	31	Female	India	0.2	22.1	7.3	Good	24.9	95	Low	10.1	null	Student	0	1
319	38	Female	Australia	3.6	344.9	6.3	Good	21.4	82	Low	6.3	null	Service	0	0
320	33	Male	South Korea	2.4	225.1	7.1	Good	21.9	50	Low	14	null	Healthcare	1	1
321	36	Male	Sweden	1.2	112.1	4.7	Poor	17.3	73	High	13.7	Mild	Office	0	0
322	42	Male	UK	2.8	265.3	6.5	Good	25.8	82	Low	7.2	null	Other	0	1
323	25	Female	China	3.9	374.2	8	Excellent	25.3	72	Low	11.7	null	Healthcare	0	0
324	60	Female	China	0.1	5.1	6.5	Good	23.5	73	Low	14.8	Mild	Healthcare	0	0
325	22	Male	Brazil	3.6	340.5	4.2	Poor	22.9	71	High	5	Mild	Other	0	1
326	20	Male	Norway	3	284.6	5	Poor	27	66	High	9.4	Mild	Student	0	1
327	48	Male	UK	2.2	204.8	6.3	Good	24.6	58	Low	8.5	null	Service	0	0
328	44	Female	Finland	2.9	272.5	7	Good	27.3	67	Low	8.1	null	Service	0	0
329	42	Female	USA	2.9	274.9	5.6	Fair	24.8	50	Medium	14	Mild	Healthcare	0	0
330	42	Female	Finland	3.3	315.9	4.9	Poor	27.7	89	High	1.9	Mild	Office	0	0
331	34	Male	Belgium	1	97.1	6	Fair	27.4	70	Medium	7.7	Mild	Student	0	0
332	24	Male	India	4.1	392.5	8.7	Excellent	27.8	59	Low	0.4	null	Student	0	1
333	35	Female	Norway	4	378.9	9.6	Excellent	21.6	72	Low	4.6	null	Healthcare	0	1
334	26	Male	Norway	4	383.1	7	Good	26.7	84	Low	10.1	null	Office	0	0
335	46	Female	USA	0	0	7.3	Good	24	76	Low	11.7	null	Other	0	1
336	33	Male	France	4.2	400.6	7.7	Good	23.5	61	Low	12.8	null	Other	0	1
337	25	Male	Netherlands	1.9	184.9	5.1	Fair	22.1	67	Medium	1.1	Mild	Healthcare	0	0
338	31	Female	Sweden	3.3	313.1	5.8	Fair	25.3	80	Medium	2.8	Mild	Office	1	0
339	39	Other	Switzerland	0	0	4.5	Poor	16.2	62	High	6	Mild	Student	0	0
340	28	Female	China	1.5	140.1	7.3	Good	25.4	74	Low	5.7	null	Student	0	1
341	25	Male	Canada	3.8	357.3	6.4	Good	25.4	66	Low	3.8	null	Student	1	0
342	37	Male	Finland	3.3	312.5	5.6	Fair	28.3	70	Medium	14.1	Mild	Service	0	0
343	37	Female	Switzerland	0.9	83.6	9.2	Excellent	24.5	81	Low	8	null	Student	0	0
344	28	Female	Switzerland	3.5	334.4	8	Good	29.5	65	Low	9.9	null	Other	1	1
345	29	Female	Belgium	1.3	121.2	6.8	Good	22.4	53	Low	11.2	null	Office	0	0
346	37	Male	India	2.1	199.6	5.7	Fair	22	93	Medium	8.2	Mild	Student	1	0
347	18	Female	China	0.7	70.8	7.3	Good	30.4	67	Low	12.5	Mild	Healthcare	0	0
348	18	Female	Mexico	3	286.4	6.7	Good	21.7	74	Low	14.8	null	Healthcare	1	0
349	26	Female	UK	4.1	392.4	5.8	Fair	15.1	93	Medium	5.9	Mild	Other	0	0
350	32	Female	UK	3.8	363.6	5.3	Fair	30.5	77	Medium	9.7	Moderate	Student	0	1
351	38	Male	Brazil	1.1	108.2	7.1	Good	30.8	69	Low	4.8	Mild	Other	0	0
352	52	Female	Canada	2.4	230.9	6.9	Good	23.4	71	Low	1	Mild	Other	0	0
353	45	Female	Australia	0.1	13.4	5.7	Fair	23.8	89	Medium	0.4	Mild	Other	1	0
354	33	Female	Australia	4.5	431.9	4	Poor	22	81	High	3.5	Mild	Service	0	0
355	34	Female	Netherlands	2.5	240.2	6.2	Good	31.5	66	Low	2.4	Mild	Student	0	1
356	22	Female	Brazil	3.5	330.1	4.8	Poor	30.2	80	High	10.8	Moderate	Healthcare	0	0
357	34	Female	South Korea	2.8	265.9	5.6	Fair	21.8	65	Medium	7	Mild	Service	0	1
358	31	Male	Netherlands	1.6	148.3	6.1	Good	24.6	73	Low	8.1	null	Other	1	0
359	38	Male	Spain	1.7	158.6	7.3	Good	31.2	77	Low	1.2	Mild	Healthcare	0	0
360	25	Male	Canada	3.2	302.4	5.8	Fair	32.2	64	Medium	0.3	Moderate	Other	0	1
361	41	Male	France	5	470.8	6.6	Good	25.7	67	Low	6.5	null	Service	1	1
362	53	Male	Canada	2	188.6	5.6	Fair	26.3	65	Medium	3.8	Moderate	Office	0	0
363	33	Male	Japan	4.3	404.8	6.8	Good	24.2	60	Low	9.3	null	Other	0	0
364	39	Male	Norway	3.9	369	6	Good	22.1	72	Low	7.7	null	Other	0	0
365	43	Male	Italy	2	192	7	Good	26.9	70	Low	12.4	null	Healthcare	0	1
366	30	Male	Sweden	4.2	394.3	7.9	Good	30.9	74	Low	12.6	Mild	Healthcare	1	0
367	37	Male	India	4	382.7	6.2	Good	21	75	Low	8.1	null	Other	0	0
368	35	Female	UK	0	0	6.8	Good	25.4	64	Low	13.6	null	Student	1	0
369	36	Female	Japan	3.6	337.5	7	Good	25.2	80	Low	14	null	Healthcare	0	0
370	25	Male	Italy	4.4	420	7	Good	19.2	73	Low	3.7	null	Office	0	0
371	35	Female	France	0.7	71.1	4	Poor	24.7	55	High	14.7	Mild	Office	0	0
372	40	Female	Canada	0.5	50.3	5.5	Fair	23.9	73	Medium	14.8	Mild	Other	0	1
373	52	Male	Australia	2.8	267.1	6.9	Good	22.8	64	Low	1	Mild	Healthcare	1	1
374	46	Female	Switzerland	4.9	462.5	8.2	Excellent	30.2	50	Low	0	Mild	Office	1	0
375	60	Female	Sweden	0.9	82.5	5.1	Fair	22.9	88	Medium	0.9	Moderate	Service	1	0
376	25	Female	India	0.1	12.7	6.3	Good	21	51	Low	5.2	null	Office	0	1
377	45	Male	Germany	1.8	172.9	7	Good	27.3	61	Low	12.1	null	Healthcare	1	0
378	37	Female	Belgium	1.6	153	5.6	Fair	25.7	68	Medium	7.6	Mild	Other	0	0
379	61	Male	Mexico	0	0	7.6	Good	24.9	71	Low	4.4	Mild	Office	1	1
380	25	Female	Germany	1.6	154.3	7.6	Good	27.4	72	Low	0.8	null	Other	0	0
381	24	Other	Finland	3	287.2	7.1	Good	24.1	67	Low	5.9	null	Service	0	0
382	27	Female	Sweden	5.3	502	6.4	Good	23.3	56	Low	0.5	null	Office	1	1
383	18	Female	Spain	3.3	317.5	5.3	Fair	21.6	76	Medium	2.6	Mild	Other	0	0
384	28	Male	Australia	3.7	352.4	6.1	Good	28	61	Low	13.2	null	Office	0	1
385	25	Other	Brazil	0.9	82.4	8.4	Excellent	30.3	75	Low	11.4	Mild	Office	0	0
386	36	Female	Australia	2.4	224	7.1	Good	33.9	77	Low	14.9	Mild	Healthcare	0	1
387	39	Male	Switzerland	2.2	206.1	3.9	Poor	27.3	71	High	13.4	Mild	Healthcare	0	0
388	57	Female	Italy	3	283.9	7.5	Good	31.7	60	Low	12.8	Moderate	Student	0	0
389	46	Male	China	3.4	322.5	7	Good	22	67	Low	2.6	null	Healthcare	0	0
390	28	Male	Sweden	3.9	373.3	6	Fair	21	90	Medium	9.7	Mild	Healthcare	1	0
391	24	Female	Netherlands	2.5	242	6.4	Good	19.8	69	Low	9	null	Student	0	1
392	40	Male	South Korea	1.7	163	6	Good	24.6	55	Low	13.8	null	Student	1	1
393	19	Female	Australia	4.3	411.9	6.4	Good	23.2	78	Low	11.7	null	Office	0	0
394	56	Male	China	3.6	340.8	6.5	Good	31.3	64	Low	11.6	Moderate	Office	0	0
395	49	Male	USA	3.4	325.6	6.2	Good	23	83	Low	4.9	null	Office	0	0
396	29	Female	Norway	2.4	231.9	6.9	Good	23.3	50	Low	1.9	null	Healthcare	0	1
397	18	Male	China	4.3	410.8	6.2	Good	27.9	75	Low	5.5	null	Other	1	0
398	51	Female	Switzerland	0.6	58.4	8.1	Excellent	29	90	Low	3.1	Mild	Other	0	0
399	33	Female	India	3.8	364.8	7.4	Good	26.7	79	Low	10.9	null	Healthcare	1	0
400	49	Female	Belgium	3.8	364	4.8	Poor	27.7	78	High	6.9	Mild	Service	0	0

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